A blockchain-based framework for federated learning with privacy preservation in power load forecasting

已完结 10 由星空发布于 2025/6/23 11:38:01

DOI:10.1016/j.knosys.2023.111338
作者：Qifan Mao, Liangliang Wang, Yu Long, Lidong Han, Zihan Wang, Kefei Chen
文献类型：期刊论文
补充材料：只需要正文

Elsevier

Abstract：Power load forecasting plays an important role in the efficient operation of power systems. For traditional load forecasting methods, the reliance on centralized data raises privacy concerns

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